Update README.md

README.md

@@ -83,7 +83,7 @@ For ReFT, the nodes in the last 8 layers were unfrozen with attention to allow t
 
 After 3 to 4 epochs, the model began to overfit regardless of the strategies employed. Increasing both batch size and the number of epochs resulted in higher final training and evaluation cross-entropy.
 
-Following an extensive grid search, supervised fine-tuning of Llama 3.1-8B with LoRA+ and the parameters mentioned above yielded the best training and evaluation cross-entropy.
+Following an extensive grid search, supervised fine-tuning of [Llama 3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) with LoRA+ and the parameters mentioned below yielded the best training and evaluation cross-entropy.
 
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